pytorch-beginner | pytorch tutorial for beginners | Learning library

by L1aoXingyu Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | pytorch-beginner Summary

pytorch-beginner is a Python library typically used in Tutorial, Learning, Pytorch applications. pytorch-beginner has no bugs, it has no vulnerabilities and it has medium support. However pytorch-beginner build file is not available. You can download it from GitHub.

pytorch tutorial for beginners

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Quality

Security

License

Reuse

Support

pytorch-beginner has a medium active ecosystem.

It has 2829 star(s) with 1076 fork(s). There are 74 watchers for this library.

It had no major release in the last 6 months.

There are 20 open issues and 13 have been closed. On average issues are closed in 27 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pytorch-beginner is current.

Quality

pytorch-beginner has 0 bugs and 0 code smells.

Security

pytorch-beginner has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

pytorch-beginner code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pytorch-beginner does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

pytorch-beginner releases are not available. You will need to build from source code and install.

pytorch-beginner has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed pytorch-beginner and discovered the below as its top functions. This is intended to give you an instant insight into pytorch-beginner implemented functionality, and help decide if they suit your requirements.

Performs a forward transformation
Encodes the given value
Convert the input z into a sigmoid
Reparametrize the logarithm
Optimize the model
Return random samples from the reservoir
Reads the word corpus from a file
Adds a list of words to the corpus
Get screen size
Returns the current cart location
Adds a scalar summary
Detach from a list of states
Make a tensor
Select a random action
Convert x to image
Push a transition
Calculate loss function
Plot the duration of training
Writes image summary
Write a histogram summary
Convert an object into a numpy array

Get all kandi verified functions for this library.

pytorch-beginner Key Features

No Key Features are available at this moment for pytorch-beginner.

pytorch-beginner Examples and Code Snippets

No Code Snippets are available at this moment for pytorch-beginner.

Community Discussions

Trending Discussions on pytorch-beginner

How to get the image torchvision.utils.save_image saves, without reading it back from disk?

Why is the decoder in an autoencoder uses a sigmoid on the last layer?

QUESTION

How to get the image torchvision.utils.save_image saves, without reading it back from disk?

Asked 2020-Dec-27 at 22:19

from torchvision.utils import save_image

...
save_image(im, f'im_name.png')

...

ANSWER

Answered 2020-Dec-27 at 22:19

About 2 weeks later, I stumbled upon the solution by accident.

Source https://stackoverflow.com/questions/65295096

QUESTION

Why is the decoder in an autoencoder uses a sigmoid on the last layer?

Asked 2020-Dec-15 at 14:55

I am looking at this working variational auto encoder.

The main class

...

ANSWER

Answered 2020-Dec-15 at 14:29

If I remember correctly, it'll convert the results into a probability, expressed as a real number between 0 and 1.

Source https://stackoverflow.com/questions/65307833

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install pytorch-beginner

You can download it from GitHub.
You can use pytorch-beginner like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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